Welcome to R-Ladies St. Louis

Clinical Reporting with {gtsummary}

October 17, 2022

Materials for tonight

All materials can be found here: https://www.danieldsjoberg.com/clinical-reporting-gtsummary-rmed/
Have R and RStudio installed on your computer
Most recent release of the gtsummary and other packages used in workshop.

instll_pkgs <- c("gtsummary", "tidyverse", "labelled", "usethis", "causaldata", "fs", "skimr", "car")

install.packages(instll_pkgs)

R-Ladies is a world-wide organization with the mission of promoting gender diversity in the R community
Started in San Francisco in 2012 and now has 206 chapters and more than 93,000 members globally (check out rladies.org for a Shiny dashboard)

Started in September 2017 by Jenine Harris and Chelsea West

Co-organizers for 2022-23 include:

Each week in October we will be featuring an Introductory R topic during our OctobeR ExtRavaganza

Earlier This Month: Wrangling Data in the Tidyverse with Joscelin Rocha-Hidalgo (Penn State)
Last Week: Intro to Iteration: for loops and functions with Merve Ileri Tayar (Washington University)
Tonight: Clinical reporting with gtsummary with Daniel Sjoberg (Memorial Sloan Kettering Cancer Center)
Thursday Oct.27: Intro to Quarto with Isabella Velasquez (Posit)

We will be recording this talk
- Feel free to turn off your cameras if you do not want to be recorded
Use the chat to ask questions (to everyone or directly to the host)

https://rladies.org/code-of-conduct/

Visit rladies.org to learn about the mission and global work of R-Ladies

Connect with R-Ladies St. Louis
- Email us at rladiesstl@gmail.com
- Follow us on Twitter @rladiesstl
- RSVP for future talks on Meetup
- Check out past recorded talks on our YouTube Channel

Daniel is a Senior Biostatistician at Memorial Sloan Kettering Cancer Center in New York City and a DrPH candidate in Biostatistics at Columbia University.
His research interests include adaptive methods in clinical trials, precision medicine, and predictive modeling.
He also enjoys R package development, creating many packages available on CRAN, R-Universe, GitHub, and internally at MSKCC.
Daniel is the the winner of the 2021 American Statistical Association (ASA) Innovation in Statistical Programming and Analytics award.